Parameters for linear regression. by Dania AL-Najjar (11840857)

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The SHAP dependence plot for features in the GBM model. by Lang Gao (12963876)

Effect of step-by-step filling and compaction on the coarse aggregates. by Zhijun Liu (35566)

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Results of the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

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Gradation of the fine aggregates determined by step-by-step filling. by Zhijun Liu (35566)

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The top 109 most significant features among the 28,456 mRNAs. by Sepideh Zununi Vahed (9861298)

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Bar chart and summary chart of contributions based on absolute values of SHAP. by Kai Wang (21246)

“…<p>A) Bar chart of important attributes based on absolute values of SHAP (95% CIs, 1000 bootstraps), B) Summary chart of important attributes based on absolute values of SHAP. …”

SHAP values for predicting child removals. by Michael Rosholm (4020347)

Significance (p-value), standard error, and R² scores for the linear relation between maximum dispersal distance and cross-validated AUC (AUC-cv) across all the network... by Damian O. Ortiz-Rodríguez (17343308)

General linear mixed model coefficients and significance for species-specific ungulate intensity of use as a function of cattle grazing period. by Kathryn Knodel (20036529)

Gradation determined by the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

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GA-XGBoost model SHAP feature density scatter plot. by Wenguang Li (6528113)

Mean Absolute SHAP values and their impact. by Dakota McCarty (17827264)

The influence of features on model predictions, presented as a SHAP heatmap. by Kamil Książek (22177742)

Algorithm operation steps. by Junyan Wang (4738518)

Illustration of SHAP. by Kai Zhang (102844)

“…Through multidimensional health recommendations based on SHAP and PCC interpretations, if the health recommendations provided by the model are implemented, 64.58% of individuals could potentially extend their life expectancy. …”

SHAP Analysis of the 48 Weeks Prediction Results. by Pianpian Xia (22070450)

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SHAP Analysis of the 12 Weeks Prediction Results. by Pianpian Xia (22070450)

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SHAP feature importance (Mean). by Bo Dong (218172)

“…A multidimensional performance metric system (accuracy, precision, recall, F1 score, and AUC value) was employed to comprehensively evaluate the classification performance of the models. SHAP (Shapley Additive Prediction) values were used to illustrate the contribution of different factors to the health status of the migrant population.…”

Diagram of the mechanism by which PFAS causes a decrease in constipation. by Yifan Zhao (659636)